Overview

Brought to you by YData

Dataset statistics

Number of variables	30
Number of observations	22411
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	22.2 MiB
Average record size in memory	1.0 KiB

Variable types

Text	5
Categorical	10
DateTime	1
Numeric	12
Boolean	1
Path	1

Alerts

`acreage` is highly overall correlated with `acreage_boxcox` and 1 other fields	High correlation
`acreage_boxcox` is highly overall correlated with `acreage` and 1 other fields	High correlation
`acreage_log` is highly overall correlated with `acreage` and 1 other fields	High correlation
`bedrooms` is highly overall correlated with `finished_area` and 1 other fields	High correlation
`building_value` is highly overall correlated with `finished_area` and 3 other fields	High correlation
`city` is highly overall correlated with `property_city` and 1 other fields	High correlation
`finished_area` is highly overall correlated with `bedrooms` and 3 other fields	High correlation
`full_bath` is highly overall correlated with `bedrooms` and 2 other fields	High correlation
`home_age` is highly overall correlated with `year_built`	High correlation
`land_value` is highly overall correlated with `building_value` and 1 other fields	High correlation
`neighborhood` is highly overall correlated with `property_city` and 1 other fields	High correlation
`price_range` is highly overall correlated with `sale_price`	High correlation
`property_city` is highly overall correlated with `city` and 2 other fields	High correlation
`sale_price` is highly overall correlated with `building_value` and 3 other fields	High correlation
`tax_district` is highly overall correlated with `city` and 2 other fields	High correlation
`year_built` is highly overall correlated with `home_age`	High correlation
`suite_condo___` is highly imbalanced (99.9%)	Imbalance
`sold_as_vacant` is highly imbalanced (85.8%)	Imbalance
`multiple_parcels_involved_in_sale` is highly imbalanced (83.6%)	Imbalance
`city` is highly imbalanced (60.6%)	Imbalance
`acreage` is highly skewed (γ1 = 25.71904787)	Skewed

Reproduction

Analysis started	2025-07-24 21:56:09.103245
Analysis finished	2025-07-24 21:56:39.199472
Duration	30.1 seconds
Software version	ydata-profiling v0.0.dev0
Download configuration	config.json

parcel_id
Text

Distinct	19480
Distinct (%)	86.9%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

Length

Max length	15
Median length	15
Mean length	15
Min length	15

Characters and Unicode

Total characters	336165
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16843 ?
Unique (%)	75.2%

Sample

1st row	105 11 0 080.00
2nd row	118 03 0 130.00
3rd row	119 01 0 479.00
4th row	119 05 0 186.00
5th row	119 05 0 387.00

Value	Count	Frequency (%)
0	22411	25.0%
07	1680	1.9%
01	1558	1.7%
08	1537	1.7%
13	1497	1.7%
15	1485	1.7%
03	1448	1.6%
02	1412	1.6%
11	1411	1.6%
05	1349	1.5%
Other values (805)	53856	60.1%

Most occurring characters

Value	Count	Frequency (%)
0	114315	34.0%
	67233	20.0%
1	38328	11.4%
.	22411	6.7%
2	15485	4.6%
3	14903	4.4%
4	12232	3.6%
5	11047	3.3%
6	10792	3.2%
8	10291	3.1%
Other values (2)	19128	5.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	336165	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	114315	34.0%
	67233	20.0%
1	38328	11.4%
.	22411	6.7%
2	15485	4.6%
3	14903	4.4%
4	12232	3.6%
5	11047	3.3%
6	10792	3.2%
8	10291	3.1%
Other values (2)	19128	5.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	336165	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	114315	34.0%
	67233	20.0%
1	38328	11.4%
.	22411	6.7%
2	15485	4.6%
3	14903	4.4%
4	12232	3.6%
5	11047	3.3%
6	10792	3.2%
8	10291	3.1%
Other values (2)	19128	5.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	336165	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	114315	34.0%
	67233	20.0%
1	38328	11.4%
.	22411	6.7%
2	15485	4.6%
3	14903	4.4%
4	12232	3.6%
5	11047	3.3%
6	10792	3.2%
8	10291	3.1%
Other values (2)	19128	5.7%

property_address
Text

Distinct	20202
Distinct (%)	90.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

Length

Max length	30
Median length	26
Mean length	16.675338
Min length	10

Characters and Unicode

Total characters	373711
Distinct characters	37
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18172 ?
Unique (%)	81.1%

Sample

1st row	1802 STEWART PL
2nd row	2761 ROSEDALE PL
3rd row	224 PEACHTREE ST
4th row	316 LUTIE ST
5th row	2626 FOSTER AVE

Value	Count	Frequency (%)
dr	7704	10.6%
ave	5799	8.0%
st	2821	3.9%
rd	1913	2.6%
ct	1299	1.8%
n	1116	1.5%
ln	810	1.1%
pl	445	0.6%
s	424	0.6%
cir	354	0.5%
Other values (6944)	49922	68.8%

Most occurring characters

Value	Count	Frequency (%)
	72523	19.4%
E	24563	6.6%
R	23364	6.3%
A	20821	5.6%
D	17618	4.7%
1	16795	4.5%
N	14628	3.9%
L	13552	3.6%
T	13416	3.6%
O	13091	3.5%
Other values (27)	143340	38.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	373711	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	72523	19.4%
E	24563	6.6%
R	23364	6.3%
A	20821	5.6%
D	17618	4.7%
1	16795	4.5%
N	14628	3.9%
L	13552	3.6%
T	13416	3.6%
O	13091	3.5%
Other values (27)	143340	38.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	373711	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	72523	19.4%
E	24563	6.6%
R	23364	6.3%
A	20821	5.6%
D	17618	4.7%
1	16795	4.5%
N	14628	3.9%
L	13552	3.6%
T	13416	3.6%
O	13091	3.5%
Other values (27)	143340	38.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	373711	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	72523	19.4%
E	24563	6.6%
R	23364	6.3%
A	20821	5.6%
D	17618	4.7%
1	16795	4.5%
N	14628	3.9%
L	13552	3.6%
T	13416	3.6%
O	13091	3.5%
Other values (27)	143340	38.4%

suite_condo___
Categorical

Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

Unknown	22409
3-B	1
2-A	1

Length

Max length	7
Median length	7
Mean length	6.999643
Min length	3

Characters and Unicode

Total characters	156869
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	Unknown
2nd row	Unknown
3rd row	Unknown
4th row	Unknown
5th row	Unknown

Common Values

Value	Count	Frequency (%)
Unknown	22409	> 99.9%
3-B	1	< 0.1%
2-A	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
unknown	22409	> 99.9%
3-b	1	< 0.1%
2-a	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
n	67227	42.9%
U	22409	14.3%
k	22409	14.3%
o	22409	14.3%
w	22409	14.3%
-	2	< 0.1%
3	1	< 0.1%
B	1	< 0.1%
2	1	< 0.1%
A	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	156869	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	67227	42.9%
U	22409	14.3%
k	22409	14.3%
o	22409	14.3%
w	22409	14.3%
-	2	< 0.1%
3	1	< 0.1%
B	1	< 0.1%
2	1	< 0.1%
A	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	156869	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	67227	42.9%
U	22409	14.3%
k	22409	14.3%
o	22409	14.3%
w	22409	14.3%
-	2	< 0.1%
3	1	< 0.1%
B	1	< 0.1%
2	1	< 0.1%
A	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	156869	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	67227	42.9%
U	22409	14.3%
k	22409	14.3%
o	22409	14.3%
w	22409	14.3%
-	2	< 0.1%
3	1	< 0.1%
B	1	< 0.1%
2	1	< 0.1%
A	1	< 0.1%

property_city
Categorical

High correlation

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

NASHVILLE	17393
Other	2519
ANTIOCH	1274
MADISON	1225

Length

Max length	9
Median length	9
Mean length	8.3273839
Min length	5

Characters and Unicode

Total characters	186625
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NASHVILLE
2nd row	NASHVILLE
3rd row	NASHVILLE
4th row	NASHVILLE
5th row	NASHVILLE

Common Values

Value	Count	Frequency (%)
NASHVILLE	17393	77.6%
Other	2519	11.2%
ANTIOCH	1274	5.7%
MADISON	1225	5.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
nashville	17393	77.6%
other	2519	11.2%
antioch	1274	5.7%
madison	1225	5.5%

Most occurring characters

Value	Count	Frequency (%)
L	34786	18.6%
N	19892	10.7%
A	19892	10.7%
I	19892	10.7%
H	18667	10.0%
S	18618	10.0%
V	17393	9.3%
E	17393	9.3%
O	5018	2.7%
t	2519	1.3%
Other values (7)	12555	6.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	186625	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
L	34786	18.6%
N	19892	10.7%
A	19892	10.7%
I	19892	10.7%
H	18667	10.0%
S	18618	10.0%
V	17393	9.3%
E	17393	9.3%
O	5018	2.7%
t	2519	1.3%
Other values (7)	12555	6.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	186625	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
L	34786	18.6%
N	19892	10.7%
A	19892	10.7%
I	19892	10.7%
H	18667	10.0%
S	18618	10.0%
V	17393	9.3%
E	17393	9.3%
O	5018	2.7%
t	2519	1.3%
Other values (7)	12555	6.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	186625	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
L	34786	18.6%
N	19892	10.7%
A	19892	10.7%
I	19892	10.7%
H	18667	10.0%
S	18618	10.0%
V	17393	9.3%
E	17393	9.3%
O	5018	2.7%
t	2519	1.3%
Other values (7)	12555	6.7%

sale_date
Date

Distinct	1044
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Memory size	350.2 KiB

Minimum	2013-01-02 00:00:00
Maximum	2016-10-31 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

sale_price
Real number (ℝ)

High correlation

Distinct	3114
Distinct (%)	13.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	213668.74

Minimum	100
Maximum	625000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	350.2 KiB

Quantile statistics

Minimum	100
5-th percentile	60000
Q1	121000
median	175000
Q3	284900
95-th percentile	482250
Maximum	625000
Range	624900
Interquartile range (IQR)	163900

Descriptive statistics

Standard deviation	129534.12
Coefficient of variation (CV)	0.60623806
Kurtosis	0.48838072
Mean	213668.74
Median Absolute Deviation (MAD)	69500
Skewness	1.0314346
Sum	4.7885301 × 10⁹
Variance	1.6779089 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
150000	261	1.2%
130000	231	1.0%
120000	231	1.0%
125000	230	1.0%
135000	223	1.0%
160000	219	1.0%
140000	216	1.0%
100000	201	0.9%
115000	200	0.9%
110000	199	0.9%
Other values (3104)	20200	90.1%

Value	Count	Frequency (%)
100	2	< 0.1%
800	1	< 0.1%
1000	1	< 0.1%
3000	1	< 0.1%
5000	1	< 0.1%
6000	2	< 0.1%
6500	1	< 0.1%
7000	1	< 0.1%
7200	1	< 0.1%
7250	1	< 0.1%

Value	Count	Frequency (%)
625000	23	0.1%
624900	1	< 0.1%
624255	1	< 0.1%
624000	1	< 0.1%
623000	2	< 0.1%
622758	1	< 0.1%
622740	1	< 0.1%
622500	1	< 0.1%
621200	1	< 0.1%
621000	1	< 0.1%

legal_reference
Text

Distinct	22204
Distinct (%)	99.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

Length

Max length	17
Median length	16
Mean length	16.000089
Min length	16

Characters and Unicode

Total characters	358578
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	22045 ?
Unique (%)	98.4%

Sample

1st row	20130118-0006337
2nd row	20130124-0008033
3rd row	20130128-0008863
4th row	20130131-0009929
5th row	20130118-0006110

Value	Count	Frequency (%)
20150916-0093955	7	< 0.1%
20130614-0061021	6	< 0.1%
20160204-0010954	5	< 0.1%
20140331-0026370	4	< 0.1%
20160908-0094751	4	< 0.1%
20160819-0087092	4	< 0.1%
20130708-0070104	4	< 0.1%
20151022-0107375	4	< 0.1%
20131226-0129773	4	< 0.1%
20140523-0044794	4	< 0.1%
Other values (22212)	22383	99.8%

Most occurring characters

Value	Count	Frequency (%)
0	103691	28.9%
1	56345	15.7%
2	46238	12.9%
-	22413	6.3%
5	21551	6.0%
6	21323	5.9%
4	20887	5.8%
3	20540	5.7%
8	15227	4.2%
7	15185	4.2%
Other values (2)	15178	4.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	358578	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	103691	28.9%
1	56345	15.7%
2	46238	12.9%
-	22413	6.3%
5	21551	6.0%
6	21323	5.9%
4	20887	5.8%
3	20540	5.7%
8	15227	4.2%
7	15185	4.2%
Other values (2)	15178	4.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	358578	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	103691	28.9%
1	56345	15.7%
2	46238	12.9%
-	22413	6.3%
5	21551	6.0%
6	21323	5.9%
4	20887	5.8%
3	20540	5.7%
8	15227	4.2%
7	15185	4.2%
Other values (2)	15178	4.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	358578	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	103691	28.9%
1	56345	15.7%
2	46238	12.9%
-	22413	6.3%
5	21551	6.0%
6	21323	5.9%
4	20887	5.8%
3	20540	5.7%
8	15227	4.2%
7	15185	4.2%
Other values (2)	15178	4.2%

sold_as_vacant
Boolean

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	197.0 KiB

False	21962
True	449

Value	Count	Frequency (%)
False	21962	98.0%
True	449	2.0%

multiple_parcels_involved_in_sale
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

0	21872
1	539

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	22411
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	21872	97.6%
1	539	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	21872	97.6%
1	539	2.4%

Most occurring characters

Value	Count	Frequency (%)
0	21872	97.6%
1	539	2.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	22411	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	21872	97.6%
1	539	2.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	22411	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	21872	97.6%
1	539	2.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	22411	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	21872	97.6%
1	539	2.4%

owner_name
Text

Distinct	17866
Distinct (%)	79.7%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

Length

Max length	60
Median length	49
Mean length	24.29316
Min length	6

Characters and Unicode

Total characters	544434
Distinct characters	51
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14696 ?
Unique (%)	65.6%

Sample

1st row	STINSON, LAURA M.
2nd row	NUNES, JARED R.
3rd row	WHITFORD, KAREN
4th row	HENDERSON, JAMES P. & LYNN P.
5th row	MILLER, JORDAN

Value	Count	Frequency (%)
	11120	11.9%
llc	1490	1.6%
a	1395	1.5%
m	1395	1.5%
l	1262	1.4%
j	966	1.0%
d	876	0.9%
r	855	0.9%
e	841	0.9%
c	753	0.8%
Other values (15242)	72303	77.5%

Most occurring characters

Value	Count	Frequency (%)
	70876	13.0%
A	46475	8.5%
E	45734	8.4%
R	35320	6.5%
N	32549	6.0%
L	30028	5.5%
I	28245	5.2%
,	25817	4.7%
S	22980	4.2%
O	22280	4.1%
Other values (41)	184130	33.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	544434	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	70876	13.0%
A	46475	8.5%
E	45734	8.4%
R	35320	6.5%
N	32549	6.0%
L	30028	5.5%
I	28245	5.2%
,	25817	4.7%
S	22980	4.2%
O	22280	4.1%
Other values (41)	184130	33.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	544434	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	70876	13.0%
A	46475	8.5%
E	45734	8.4%
R	35320	6.5%
N	32549	6.0%
L	30028	5.5%
I	28245	5.2%
,	25817	4.7%
S	22980	4.2%
O	22280	4.1%
Other values (41)	184130	33.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	544434	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	70876	13.0%
A	46475	8.5%
E	45734	8.4%
R	35320	6.5%
N	32549	6.0%
L	30028	5.5%
I	28245	5.2%
,	25817	4.7%
S	22980	4.2%
O	22280	4.1%
Other values (41)	184130	33.8%

address
Text

Distinct	19477
Distinct (%)	86.9%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

Length

Max length	30
Median length	26
Mean length	16.663335
Min length	10

Characters and Unicode

Total characters	373442
Distinct characters	38
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16837 ?
Unique (%)	75.1%

Sample

1st row	1802 STEWART PL
2nd row	2761 ROSEDALE PL
3rd row	224 PEACHTREE ST
4th row	316 LUTIE ST
5th row	2626 FOSTER AVE

Value	Count	Frequency (%)
dr	7704	10.6%
ave	5798	8.0%
st	2825	3.9%
rd	1916	2.6%
ct	1298	1.8%
n	1123	1.5%
ln	807	1.1%
pl	445	0.6%
s	422	0.6%
cir	354	0.5%
Other values (6883)	50043	68.8%

Most occurring characters

Value	Count	Frequency (%)
	72155	19.3%
E	24563	6.6%
R	23366	6.3%
A	20836	5.6%
D	17620	4.7%
1	16803	4.5%
N	14619	3.9%
L	13559	3.6%
T	13420	3.6%
O	13089	3.5%
Other values (28)	143412	38.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	373442	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	72155	19.3%
E	24563	6.6%
R	23366	6.3%
A	20836	5.6%
D	17620	4.7%
1	16803	4.5%
N	14619	3.9%
L	13559	3.6%
T	13420	3.6%
O	13089	3.5%
Other values (28)	143412	38.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	373442	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	72155	19.3%
E	24563	6.6%
R	23366	6.3%
A	20836	5.6%
D	17620	4.7%
1	16803	4.5%
N	14619	3.9%
L	13559	3.6%
T	13420	3.6%
O	13089	3.5%
Other values (28)	143412	38.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	373442	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	72155	19.3%
E	24563	6.6%
R	23366	6.3%
A	20836	5.6%
D	17620	4.7%
1	16803	4.5%
N	14619	3.9%
L	13559	3.6%
T	13420	3.6%
O	13089	3.5%
Other values (28)	143412	38.4%

city
Categorical

High correlation Imbalance

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.4 MiB

NASHVILLE	17394
ANTIOCH	1274
MADISON	1225
HERMITAGE	1022
OLD HICKORY	853
Other values (5)	643

Length

Max length	14
Median length	9
Mean length	8.9581902
Min length	7

Characters and Unicode

Total characters	200762
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NASHVILLE
2nd row	NASHVILLE
3rd row	NASHVILLE
4th row	NASHVILLE
5th row	NASHVILLE

Common Values

Value	Count	Frequency (%)
NASHVILLE	17394	77.6%
ANTIOCH	1274	5.7%
MADISON	1225	5.5%
HERMITAGE	1022	4.6%
OLD HICKORY	853	3.8%
GOODLETTSVILLE	461	2.1%
BRENTWOOD	147	0.7%
WHITES CREEK	18	0.1%
JOELTON	11	< 0.1%
MOUNT JULIET	6	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
nashville	17394	74.7%
antioch	1274	5.5%
madison	1225	5.3%
hermitage	1022	4.4%
old	853	3.7%
hickory	853	3.7%
goodlettsville	461	2.0%
brentwood	147	0.6%
whites	18	0.1%
creek	18	0.1%
Other values (3)	23	0.1%

Most occurring characters

Value	Count	Frequency (%)
L	37041	18.5%
I	22253	11.1%
A	20915	10.4%
E	20578	10.2%
H	20561	10.2%
N	20057	10.0%
S	19098	9.5%
V	17855	8.9%
O	5449	2.7%
T	3406	1.7%
Other values (12)	13549	6.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	200762	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
L	37041	18.5%
I	22253	11.1%
A	20915	10.4%
E	20578	10.2%
H	20561	10.2%
N	20057	10.0%
S	19098	9.5%
V	17855	8.9%
O	5449	2.7%
T	3406	1.7%
Other values (12)	13549	6.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	200762	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
L	37041	18.5%
I	22253	11.1%
A	20915	10.4%
E	20578	10.2%
H	20561	10.2%
N	20057	10.0%
S	19098	9.5%
V	17855	8.9%
O	5449	2.7%
T	3406	1.7%
Other values (12)	13549	6.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	200762	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
L	37041	18.5%
I	22253	11.1%
A	20915	10.4%
E	20578	10.2%
H	20561	10.2%
N	20057	10.0%
S	19098	9.5%
V	17855	8.9%
O	5449	2.7%
T	3406	1.7%
Other values (12)	13549	6.7%

acreage
Real number (ℝ)

High correlation Skewed

Distinct	359
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.40779349

Minimum	0.04
Maximum	47.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	350.2 KiB

Quantile statistics

Minimum	0.04
5-th percentile	0.12
Q1	0.18
median	0.27
Q3	0.42
95-th percentile	1.05
Maximum	47.5
Range	47.46
Interquartile range (IQR)	0.24

Descriptive statistics

Standard deviation	0.64330883
Coefficient of variation (CV)	1.5775358
Kurtosis	1451.5138
Mean	0.40779349
Median Absolute Deviation (MAD)	0.1
Skewness	25.719048
Sum	9139.06
Variance	0.41384626
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.17	1613	7.2%
0.18	1059	4.7%
0.2	914	4.1%
0.23	859	3.8%
0.22	733	3.3%
0.19	693	3.1%
0.25	692	3.1%
0.27	692	3.1%
0.34	669	3.0%
0.16	599	2.7%
Other values (349)	13888	62.0%

Value	Count	Frequency (%)
0.04	3	< 0.1%
0.05	18	0.1%
0.06	34	0.2%
0.07	50	0.2%
0.08	86	0.4%
0.09	352	1.6%
0.1	212	0.9%
0.11	285	1.3%
0.12	335	1.5%
0.13	369	1.6%

Value	Count	Frequency (%)
47.5	1	< 0.1%
22.77	1	< 0.1%
19.87	1	< 0.1%
16.17	1	< 0.1%
12.87	1	< 0.1%
12.2	1	< 0.1%
11.74	1	< 0.1%
11.31	1	< 0.1%
10.94	1	< 0.1%
10.67	1	< 0.1%

tax_district
Categorical

High correlation

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

URBAN SERVICES DISTRICT	17340
GENERAL SERVICES DISTRICT	4273
Other	798

Length

Max length	25
Median length	23
Mean length	22.740395
Min length	5

Characters and Unicode

Total characters	509635
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	URBAN SERVICES DISTRICT
2nd row	Other
3rd row	URBAN SERVICES DISTRICT
4th row	URBAN SERVICES DISTRICT
5th row	URBAN SERVICES DISTRICT

Common Values

Value	Count	Frequency (%)
URBAN SERVICES DISTRICT	17340	77.4%
GENERAL SERVICES DISTRICT	4273	19.1%
Other	798	3.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
services	21613	32.9%
district	21613	32.9%
urban	17340	26.4%
general	4273	6.5%
other	798	1.2%

Most occurring characters

Value	Count	Frequency (%)
S	64839	12.7%
I	64839	12.7%
R	64839	12.7%
E	51772	10.2%
C	43226	8.5%
T	43226	8.5%
	43226	8.5%
D	21613	4.2%
A	21613	4.2%
N	21613	4.2%
Other values (10)	68829	13.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	509635	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
S	64839	12.7%
I	64839	12.7%
R	64839	12.7%
E	51772	10.2%
C	43226	8.5%
T	43226	8.5%
	43226	8.5%
D	21613	4.2%
A	21613	4.2%
N	21613	4.2%
Other values (10)	68829	13.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	509635	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
S	64839	12.7%
I	64839	12.7%
R	64839	12.7%
E	51772	10.2%
C	43226	8.5%
T	43226	8.5%
	43226	8.5%
D	21613	4.2%
A	21613	4.2%
N	21613	4.2%
Other values (10)	68829	13.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	509635	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
S	64839	12.7%
I	64839	12.7%
R	64839	12.7%
E	51772	10.2%
C	43226	8.5%
T	43226	8.5%
	43226	8.5%
D	21613	4.2%
A	21613	4.2%
N	21613	4.2%
Other values (10)	68829	13.5%

neighborhood
Real number (ℝ)

High correlation

Distinct	190
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4367.3589

Minimum	107
Maximum	9530
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	350.2 KiB

Quantile statistics

Minimum	107
5-th percentile	1226
Q1	3130
median	4026
Q3	6228
95-th percentile	7331
Maximum	9530
Range	9423
Interquartile range (IQR)	3098

Descriptive statistics

Standard deviation	2053.7244
Coefficient of variation (CV)	0.47024403
Kurtosis	-0.30480992
Mean	4367.3589
Median Absolute Deviation (MAD)	1500
Skewness	0.36950668
Sum	97876880
Variance	4217784.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4026	726	3.2%
2326	600	2.7%
7328	570	2.5%
2026	491	2.2%
3628	453	2.0%
1226	446	2.0%
6226	427	1.9%
3426	426	1.9%
2726	400	1.8%
2328	381	1.7%
Other values (180)	17491	78.0%

Value	Count	Frequency (%)
107	2	< 0.1%
126	221	1.0%
226	343	1.5%
326	38	0.2%
1026	61	0.3%
1111	1	< 0.1%
1113	2	< 0.1%
1126	182	0.8%
1127	106	0.5%
1129	99	0.4%

Value	Count	Frequency (%)
9530	32	0.1%
9529	91	0.4%
9528	64	0.3%
9527	4	< 0.1%
9526	26	0.1%
9328	93	0.4%
9327	88	0.4%
9326	194	0.9%
9226	164	0.7%
9126	13	0.1%

image
Path

Distinct	19480
Distinct (%)	86.9%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

\112000\363001.JPG	4
\87000\722001.JPG	4
\48000\188001.JPG	4
\36000\736001.JPG	4
\28000\79001.JPG	4
Other values (19475)	22391

Length

Max length	18
Median length	17
Mean length	17.297532
Min length	13

Characters and Unicode

Total characters	387655
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16843 ?
Unique (%)	75.2%

Sample

1st row	\114000\910001.JPG
2nd row	\131000\191001.JPG
3rd row	\133000\721001.JPG
4th row	\134000\474001.JPG
5th row	\134000\656001.JPG

Common Values

Value	Count	Frequency (%)
\112000\363001.JPG	4	< 0.1%
\87000\722001.JPG	4	< 0.1%
\48000\188001.JPG	4	< 0.1%
\36000\736001.JPG	4	< 0.1%
\28000\79001.JPG	4	< 0.1%
\28000\80001.JPG	4	< 0.1%
\61000\253001.JPG	4	< 0.1%
\133000\892001.JPG	4	< 0.1%
\150000\78001.JPG	4	< 0.1%
\34000\853001.JPG	4	< 0.1%
Other values (19470)	22371	99.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
112000\363001.jpg	4	< 0.1%
74000\502001.jpg	4	< 0.1%
87000\722001.jpg	4	< 0.1%
73000\486001.jpg	4	< 0.1%
73000\867001.jpg	4	< 0.1%
36000\112001.jpg	4	< 0.1%
62000\411001.jpg	4	< 0.1%
86000\701001.jpg	4	< 0.1%
47000\445001.jpg	4	< 0.1%
61000\560001.jpg	4	< 0.1%
Other values (19470)	22371	99.8%

Most occurring characters

Value	Count	Frequency (%)
0	119441	30.8%
\	44822	11.6%
1	41947	10.8%
.	22411	5.8%
J	22411	5.8%
P	22411	5.8%
G	22411	5.8%
7	12196	3.1%
6	11956	3.1%
3	11597	3.0%
Other values (5)	56052	14.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	387655	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	119441	30.8%
\	44822	11.6%
1	41947	10.8%
.	22411	5.8%
J	22411	5.8%
P	22411	5.8%
G	22411	5.8%
7	12196	3.1%
6	11956	3.1%
3	11597	3.0%
Other values (5)	56052	14.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	387655	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	119441	30.8%
\	44822	11.6%
1	41947	10.8%
.	22411	5.8%
J	22411	5.8%
P	22411	5.8%
G	22411	5.8%
7	12196	3.1%
6	11956	3.1%
3	11597	3.0%
Other values (5)	56052	14.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	387655	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	119441	30.8%
\	44822	11.6%
1	41947	10.8%
.	22411	5.8%
J	22411	5.8%
P	22411	5.8%
G	22411	5.8%
7	12196	3.1%
6	11956	3.1%
3	11597	3.0%
Other values (5)	56052	14.5%

Common prefix	\
Unique stems	19480
Unique names	1000
Unique extensions	1
Unique directories	255
Unique anchors	1

Value	Count	Frequency (%)
\112000\363001.JPG	4	< 0.1%
\87000\722001.JPG	4	< 0.1%
\48000\188001.JPG	4	< 0.1%
\36000\736001.JPG	4	< 0.1%
\28000\79001.JPG	4	< 0.1%
\28000\80001.JPG	4	< 0.1%
\61000\253001.JPG	4	< 0.1%
\133000\892001.JPG	4	< 0.1%
\150000\78001.JPG	4	< 0.1%
\34000\853001.JPG	4	< 0.1%
Other values (19470)	22371	99.8%

Value	Count	Frequency (%)
\112000\363001	4	< 0.1%
\87000\722001	4	< 0.1%
\48000\188001	4	< 0.1%
\36000\736001	4	< 0.1%
\28000\79001	4	< 0.1%
\28000\80001	4	< 0.1%
\61000\253001	4	< 0.1%
\133000\892001	4	< 0.1%
\150000\78001	4	< 0.1%
\34000\853001	4	< 0.1%
Other values (19470)	22371	99.8%

Value	Count	Frequency (%)
941001.JPG	38	0.2%
511001.JPG	38	0.2%
722001.JPG	37	0.2%
477001.JPG	37	0.2%
650001.JPG	37	0.2%
739001.JPG	37	0.2%
189001.JPG	36	0.2%
560001.JPG	36	0.2%
446001.JPG	36	0.2%
35001.JPG	35	0.2%
Other values (990)	22044	98.4%

Value	Count	Frequency (%)
.JPG	22411	100.0%

Value	Count	Frequency (%)
\66000	288	1.3%
\73000	268	1.2%
\48000	267	1.2%
\82000	256	1.1%
\93000	255	1.1%
\36000	252	1.1%
\72000	249	1.1%
\37000	247	1.1%
\71000	240	1.1%
\67000	238	1.1%
Other values (245)	19851	88.6%

Value	Count	Frequency (%)
	22411	100.0%

land_value
Real number (ℝ)

High correlation

Distinct	724
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	51785.933

Minimum	900
Maximum	754000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	350.2 KiB

Quantile statistics

Minimum	900
5-th percentile	13000
Q1	21000
median	27000
Q3	45000
95-th percentile	200000
Maximum	754000
Range	753100
Interquartile range (IQR)	24000

Descriptive statistics

Standard deviation	62264.705
Coefficient of variation (CV)	1.2023479
Kurtosis	9.3224644
Mean	51785.933
Median Absolute Deviation (MAD)	9000
Skewness	2.8053702
Sum	1.1605745 × 10⁹
Variance	3.8768935 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
25000	1431	6.4%
26000	1015	4.5%
27000	872	3.9%
30000	805	3.6%
18000	758	3.4%
24000	729	3.3%
15000	613	2.7%
22000	611	2.7%
45000	597	2.7%
21000	555	2.5%
Other values (714)	14425	64.4%

Value	Count	Frequency (%)
900	2	< 0.1%
1600	1	< 0.1%
3000	3	< 0.1%
6000	18	0.1%
6500	2	< 0.1%
6800	1	< 0.1%
7000	2	< 0.1%
7500	35	0.2%
8000	16	0.1%
8400	3	< 0.1%

Value	Count	Frequency (%)
754000	1	< 0.1%
587100	1	< 0.1%
573800	2	< 0.1%
546800	2	< 0.1%
518400	1	< 0.1%
516400	1	< 0.1%
505600	1	< 0.1%
486000	2	< 0.1%
485800	1	< 0.1%
484500	1	< 0.1%

building_value
Real number (ℝ)

High correlation

Distinct	3525
Distinct (%)	15.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	141619.78

Minimum	1600
Maximum	1665800
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	350.2 KiB

Quantile statistics

Minimum	1600
5-th percentile	46800
Q1	81650
median	112200
Q3	168800
95-th percentile	310300
Maximum	1665800
Range	1664200
Interquartile range (IQR)	87150

Descriptive statistics

Standard deviation	108265.56
Coefficient of variation (CV)	0.7644805
Kurtosis	29.625909
Mean	141619.78
Median Absolute Deviation (MAD)	38300
Skewness	4.1026409
Sum	3.1738409 × 10⁹
Variance	1.1721431 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
88000	37	0.2%
70000	35	0.2%
86300	34	0.2%
102900	33	0.1%
98900	33	0.1%
81000	33	0.1%
90600	31	0.1%
102500	31	0.1%
88200	31	0.1%
83500	30	0.1%
Other values (3515)	22083	98.5%

Value	Count	Frequency (%)
1600	1	< 0.1%
2300	1	< 0.1%
2700	1	< 0.1%
2900	2	< 0.1%
3300	1	< 0.1%
3400	2	< 0.1%
3500	1	< 0.1%
4000	3	< 0.1%
4200	1	< 0.1%
4300	1	< 0.1%

Value	Count	Frequency (%)
1665800	2	< 0.1%
1620600	1	< 0.1%
1608000	1	< 0.1%
1442500	1	< 0.1%
1346100	1	< 0.1%
1324900	1	< 0.1%
1310500	1	< 0.1%
1284000	1	< 0.1%
1273900	2	< 0.1%
1265400	1	< 0.1%

finished_area
Real number (ℝ)

High correlation

Distinct	5095
Distinct (%)	22.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1734.5755

Minimum	450
Maximum	10788.58
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	350.2 KiB

Quantile statistics

Minimum	450
5-th percentile	854
Q1	1209
median	1575
Q3	2073.125
95-th percentile	3096.2
Maximum	10788.58
Range	10338.58
Interquartile range (IQR)	864.125

Descriptive statistics

Standard deviation	769.63364
Coefficient of variation (CV)	0.44370143
Kurtosis	9.8289063
Mean	1734.5755
Median Absolute Deviation (MAD)	419
Skewness	2.1499302
Sum	38873572
Variance	592335.94
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1100	114	0.5%
1200	113	0.5%
768	112	0.5%
1000	102	0.5%
975	100	0.4%
1350	95	0.4%
1050	92	0.4%
1650	86	0.4%
960	81	0.4%
1500	76	0.3%
Other values (5085)	21440	95.7%

Value	Count	Frequency (%)
450	1	< 0.1%
463	1	< 0.1%
504	1	< 0.1%
520	1	< 0.1%
528	1	< 0.1%
540	1	< 0.1%
560	1	< 0.1%
569	1	< 0.1%
576	5	< 0.1%
580	1	< 0.1%

Value	Count	Frequency (%)
10788.58008	1	< 0.1%
10492	1	< 0.1%
10006	1	< 0.1%
9864	1	< 0.1%
9180	1	< 0.1%
9170	1	< 0.1%
9111	1	< 0.1%
8286	1	< 0.1%
8022.65999	1	< 0.1%
7770	1	< 0.1%

foundation_type
Categorical

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

CRAWL	14537
FULL BSMT	3660
PT BSMT	2608
SLAB	1548
PIERS	31

Length

Max length	9
Median length	5
Mean length	5.8193298
Min length	4

Characters and Unicode

Total characters	130417
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PT BSMT
2nd row	SLAB
3rd row	FULL BSMT
4th row	CRAWL
5th row	CRAWL

Common Values

Value	Count	Frequency (%)
CRAWL	14537	64.9%
FULL BSMT	3660	16.3%
PT BSMT	2608	11.6%
SLAB	1548	6.9%
PIERS	31	0.1%
TYPICAL	27	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
crawl	14537	50.7%
bsmt	6268	21.9%
full	3660	12.8%
pt	2608	9.1%
slab	1548	5.4%
piers	31	0.1%
typical	27	0.1%

Most occurring characters

Value	Count	Frequency (%)
L	23432	18.0%
A	16112	12.4%
R	14568	11.2%
C	14564	11.2%
W	14537	11.1%
T	8903	6.8%
S	7847	6.0%
B	7816	6.0%
	6268	4.8%
M	6268	4.8%
Other values (6)	10102	7.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	130417	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
L	23432	18.0%
A	16112	12.4%
R	14568	11.2%
C	14564	11.2%
W	14537	11.1%
T	8903	6.8%
S	7847	6.0%
B	7816	6.0%
	6268	4.8%
M	6268	4.8%
Other values (6)	10102	7.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	130417	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
L	23432	18.0%
A	16112	12.4%
R	14568	11.2%
C	14564	11.2%
W	14537	11.1%
T	8903	6.8%
S	7847	6.0%
B	7816	6.0%
	6268	4.8%
M	6268	4.8%
Other values (6)	10102	7.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	130417	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
L	23432	18.0%
A	16112	12.4%
R	14568	11.2%
C	14564	11.2%
W	14537	11.1%
T	8903	6.8%
S	7847	6.0%
B	7816	6.0%
	6268	4.8%
M	6268	4.8%
Other values (6)	10102	7.7%

year_built
Real number (ℝ)

High correlation

Distinct	124
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1963.267

Minimum	1799
Maximum	2017
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	350.2 KiB

Quantile statistics

Minimum	1799
5-th percentile	1925
Q1	1948
median	1960
Q3	1980
95-th percentile	2015
Maximum	2017
Range	218
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	25.74478
Coefficient of variation (CV)	0.013113234
Kurtosis	-0.2083814
Mean	1963.267
Median Absolute Deviation (MAD)	15
Skewness	0.29181141
Sum	43998777
Variance	662.79367
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1950	1098	4.9%
1955	973	4.3%
1930	919	4.1%
1960	736	3.3%
1940	699	3.1%
2015	605	2.7%
2016	528	2.4%
1948	515	2.3%
1920	509	2.3%
1958	506	2.3%
Other values (114)	15323	68.4%

Value	Count	Frequency (%)
1799	1	< 0.1%
1870	1	< 0.1%
1880	1	< 0.1%
1890	1	< 0.1%
1893	1	< 0.1%
1894	1	< 0.1%
1899	79	0.4%
1900	65	0.3%
1901	1	< 0.1%
1902	2	< 0.1%

Value	Count	Frequency (%)
2017	12	0.1%
2016	528	2.4%
2015	605	2.7%
2014	441	2.0%
2013	238	1.1%
2012	48	0.2%
2011	19	0.1%
2010	25	0.1%
2009	30	0.1%
2008	45	0.2%

exterior_wall
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

BRICK	10901
FRAME	8502
BRICK/FRAME	2413
Other	595

Length

Max length	11
Median length	5
Mean length	5.646022
Min length	5

Characters and Unicode

Total characters	126533
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BRICK
2nd row	BRICK/FRAME
3rd row	BRICK/FRAME
4th row	FRAME
5th row	FRAME

Common Values

Value	Count	Frequency (%)
BRICK	10901	48.6%
FRAME	8502	37.9%
BRICK/FRAME	2413	10.8%
Other	595	2.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
brick	10901	48.6%
frame	8502	37.9%
brick/frame	2413	10.8%
other	595	2.7%

Most occurring characters

Value	Count	Frequency (%)
R	24229	19.1%
B	13314	10.5%
I	13314	10.5%
C	13314	10.5%
K	13314	10.5%
F	10915	8.6%
A	10915	8.6%
M	10915	8.6%
E	10915	8.6%
/	2413	1.9%
Other values (5)	2975	2.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	126533	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
R	24229	19.1%
B	13314	10.5%
I	13314	10.5%
C	13314	10.5%
K	13314	10.5%
F	10915	8.6%
A	10915	8.6%
M	10915	8.6%
E	10915	8.6%
/	2413	1.9%
Other values (5)	2975	2.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	126533	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
R	24229	19.1%
B	13314	10.5%
I	13314	10.5%
C	13314	10.5%
K	13314	10.5%
F	10915	8.6%
A	10915	8.6%
M	10915	8.6%
E	10915	8.6%
/	2413	1.9%
Other values (5)	2975	2.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	126533	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
R	24229	19.1%
B	13314	10.5%
I	13314	10.5%
C	13314	10.5%
K	13314	10.5%
F	10915	8.6%
A	10915	8.6%
M	10915	8.6%
E	10915	8.6%
/	2413	1.9%
Other values (5)	2975	2.4%

grade
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

C	17033
B	3024
D	1959
Other	395

Length

Max length	5
Median length	4
Mean length	4.0176253
Min length	4

Characters and Unicode

Total characters	90039
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	C
2nd row	C
3rd row	B
4th row	C
5th row	C

Common Values

Value	Count	Frequency (%)
C	17033	76.0%
B	3024	13.5%
D	1959	8.7%
Other	395	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
c	17033	76.0%
b	3024	13.5%
d	1959	8.7%
other	395	1.8%

Most occurring characters

Value	Count	Frequency (%)
	66048	73.4%
C	17033	18.9%
B	3024	3.4%
D	1959	2.2%
O	395	0.4%
t	395	0.4%
h	395	0.4%
e	395	0.4%
r	395	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	90039	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	66048	73.4%
C	17033	18.9%
B	3024	3.4%
D	1959	2.2%
O	395	0.4%
t	395	0.4%
h	395	0.4%
e	395	0.4%
r	395	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	90039	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	66048	73.4%
C	17033	18.9%
B	3024	3.4%
D	1959	2.2%
O	395	0.4%
t	395	0.4%
h	395	0.4%
e	395	0.4%
r	395	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	90039	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	66048	73.4%
C	17033	18.9%
B	3024	3.4%
D	1959	2.2%
O	395	0.4%
t	395	0.4%
h	395	0.4%
e	395	0.4%
r	395	0.4%

bedrooms
Real number (ℝ)

High correlation

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.0155727

Minimum	0
Maximum	9
Zeros	22
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	350.2 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	3
median	3
Q3	3
95-th percentile	4
Maximum	9
Range	9
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.78721276
Coefficient of variation (CV)	0.26104917
Kurtosis	2.7655047
Mean	3.0155727
Median Absolute Deviation (MAD)	0
Skewness	0.81014683
Sum	67582
Variance	0.61970393
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
3	12538	55.9%
2	5049	22.5%
4	3996	17.8%
5	503	2.2%
6	169	0.8%
1	100	0.4%
0	22	0.1%
8	17	0.1%
7	16	0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
0	22	0.1%
1	100	0.4%
2	5049	22.5%
3	12538	55.9%
4	3996	17.8%
5	503	2.2%
6	169	0.8%
7	16	0.1%
8	17	0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
9	1	< 0.1%
8	17	0.1%
7	16	0.1%
6	169	0.8%
5	503	2.2%
4	3996	17.8%
3	12538	55.9%
2	5049	22.5%
1	100	0.4%
0	22	0.1%

full_bath
Real number (ℝ)

High correlation

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.7688189

Minimum	0
Maximum	7
Zeros	36
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	350.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	2
95-th percentile	3
Maximum	7
Range	7
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.79980058
Coefficient of variation (CV)	0.45216647
Kurtosis	1.5310482
Mean	1.7688189
Median Absolute Deviation (MAD)	1
Skewness	1.0219547
Sum	39641
Variance	0.63968097
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2	9650	43.1%
1	9303	41.5%
3	2797	12.5%
4	503	2.2%
5	99	0.4%
0	36	0.2%
6	21	0.1%
7	2	< 0.1%

Value	Count	Frequency (%)
0	36	0.2%
1	9303	41.5%
2	9650	43.1%
3	2797	12.5%
4	503	2.2%
5	99	0.4%
6	21	0.1%
7	2	< 0.1%

Value	Count	Frequency (%)
7	2	< 0.1%
6	21	0.1%
5	99	0.4%
4	503	2.2%
3	2797	12.5%
2	9650	43.1%
1	9303	41.5%
0	36	0.2%

half_bath
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

0.0	16869
1.0	5382
2.0	160

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	67233
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	16869	75.3%
1.0	5382	24.0%
2.0	160	0.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	16869	75.3%
1.0	5382	24.0%
2.0	160	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	39280	58.4%
.	22411	33.3%
1	5382	8.0%
2	160	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	67233	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	39280	58.4%
.	22411	33.3%
1	5382	8.0%
2	160	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	67233	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	39280	58.4%
.	22411	33.3%
1	5382	8.0%
2	160	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	67233	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	39280	58.4%
.	22411	33.3%
1	5382	8.0%
2	160	0.2%

acreage_log
Real number (ℝ)

High correlation

Distinct	359
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.30634138

Minimum	0.039220713
Maximum	3.8815638
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	350.2 KiB

Quantile statistics

Minimum	0.039220713
5-th percentile	0.11332869
Q1	0.16551444
median	0.2390169
Q3	0.35065687
95-th percentile	0.71783979
Maximum	3.8815638
Range	3.8423431
Interquartile range (IQR)	0.18514243

Descriptive statistics

Standard deviation	0.22849917
Coefficient of variation (CV)	0.74589717
Kurtosis	18.203877
Mean	0.30634138
Median Absolute Deviation (MAD)	0.075793839
Skewness	3.1752863
Sum	6865.4166
Variance	0.052211869
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.1570037488	1613	7.2%
0.1655144385	1059	4.7%
0.1823215568	914	4.1%
0.2070141694	859	3.8%
0.1988508587	733	3.3%
0.1739533071	693	3.1%
0.2231435513	692	3.1%
0.2390169005	692	3.1%
0.292669614	669	3.0%
0.1484200051	599	2.7%
Other values (349)	13888	62.0%

Value	Count	Frequency (%)
0.03922071315	3	< 0.1%
0.04879016417	18	0.1%
0.05826890812	34	0.2%
0.06765864847	50	0.2%
0.07696104114	86	0.4%
0.08617769624	352	1.6%
0.0953101798	212	0.9%
0.1043600153	285	1.3%
0.1133286853	335	1.5%
0.1222176327	369	1.6%

Value	Count	Frequency (%)
3.881563798	1	< 0.1%
3.168424281	1	< 0.1%
3.038312721	1	< 0.1%
2.843163675	1	< 0.1%
2.629728234	1	< 0.1%
2.58021683	1	< 0.1%
2.54474665	1	< 0.1%
2.51041194	1	< 0.1%
2.479894108	1	< 0.1%
2.457021446	1	< 0.1%

acreage_boxcox
Real number (ℝ)

High correlation

Distinct	359
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.062583828

Minimum	-2.5120995
Maximum	2.1239307
Zeros	0
Zeros (%)	0.0%
Negative	12973
Negative (%)	57.9%
Memory size	350.2 KiB

Quantile statistics

Minimum	-2.5120995
5-th percentile	-1.4481346
Q1	-0.8490128
median	-0.17160914
Q3	0.57399423
95-th percentile	1.6980335
Maximum	2.1239307
Range	4.6360301
Interquartile range (IQR)	1.423007

Descriptive statistics

Standard deviation	0.96424466
Coefficient of variation (CV)	-15.40725
Kurtosis	-0.55926397
Mean	-0.062583828
Median Absolute Deviation (MAD)	0.67740366
Skewness	0.40631312
Sum	-1402.5662
Variance	0.92976776
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-0.9393714401	1613	7.2%
-0.8490128003	1059	4.7%
-0.6783243322	914	4.1%
-0.4451673978	859	3.8%
-0.5200185959	733	3.3%
-0.7620485818	693	3.1%
-0.3034459541	692	3.1%
-0.1716091362	692	3.1%
0.2232433046	669	3.0%
-1.033287726	599	2.7%
Other values (349)	13888	62.0%

Value	Count	Frequency (%)
-2.512099478	3	< 0.1%
-2.358622393	18	0.1%
-2.2116095	34	0.2%
-2.070731353	50	0.2%
-1.935678161	86	0.4%
-1.806158439	352	1.6%
-1.681897781	212	0.9%
-1.562637707	285	1.3%
-1.448134615	335	1.5%
-1.338158795	369	1.6%

Value	Count	Frequency (%)
2.123930658	1	< 0.1%
2.12386014	1	< 0.1%
2.123815579	1	< 0.1%
2.123695851	1	< 0.1%
2.123426151	1	< 0.1%
2.123328968	1	< 0.1%
2.12324817	1	< 0.1%
2.123159745	1	< 0.1%
2.123071663	1	< 0.1%
2.122999162	1	< 0.1%

home_age
Real number (ℝ)

High correlation

Distinct	124
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	61.732988

Minimum	8
Maximum	226
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	350.2 KiB

Quantile statistics

Minimum	8
5-th percentile	10
Q1	45
median	65
Q3	77
95-th percentile	100
Maximum	226
Range	218
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	25.74478
Coefficient of variation (CV)	0.4170344
Kurtosis	-0.2083814
Mean	61.732988
Median Absolute Deviation (MAD)	15
Skewness	-0.29181141
Sum	1383498
Variance	662.79367
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
75	1098	4.9%
70	973	4.3%
95	919	4.1%
65	736	3.3%
85	699	3.1%
10	605	2.7%
9	528	2.4%
77	515	2.3%
105	509	2.3%
67	506	2.3%
Other values (114)	15323	68.4%

Value	Count	Frequency (%)
8	12	0.1%
9	528	2.4%
10	605	2.7%
11	441	2.0%
12	238	1.1%
13	48	0.2%
14	19	0.1%
15	25	0.1%
16	30	0.1%
17	45	0.2%

Value	Count	Frequency (%)
226	1	< 0.1%
155	1	< 0.1%
145	1	< 0.1%
135	1	< 0.1%
132	1	< 0.1%
131	1	< 0.1%
126	79	0.4%
125	65	0.3%
124	1	< 0.1%
123	2	< 0.1%

price_range
Categorical

High correlation

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	197.3 KiB

Mid	11963
High	5854
Low	3688
Luxury	906

Length

Max length	6
Median length	3
Mean length	3.3824907
Min length	3

Characters and Unicode

Total characters	75805
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mid
2nd row	Mid
3rd row	Low
4th row	Mid
5th row	Low

Common Values

Value	Count	Frequency (%)
Mid	11963	53.4%
High	5854	26.1%
Low	3688	16.5%
Luxury	906	4.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
mid	11963	53.4%
high	5854	26.1%
low	3688	16.5%
luxury	906	4.0%

Most occurring characters

Value	Count	Frequency (%)
i	17817	23.5%
M	11963	15.8%
d	11963	15.8%
H	5854	7.7%
g	5854	7.7%
h	5854	7.7%
L	4594	6.1%
o	3688	4.9%
w	3688	4.9%
u	1812	2.4%
Other values (3)	2718	3.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	75805	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	17817	23.5%
M	11963	15.8%
d	11963	15.8%
H	5854	7.7%
g	5854	7.7%
h	5854	7.7%
L	4594	6.1%
o	3688	4.9%
w	3688	4.9%
u	1812	2.4%
Other values (3)	2718	3.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	75805	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	17817	23.5%
M	11963	15.8%
d	11963	15.8%
H	5854	7.7%
g	5854	7.7%
h	5854	7.7%
L	4594	6.1%
o	3688	4.9%
w	3688	4.9%
u	1812	2.4%
Other values (3)	2718	3.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	75805	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	17817	23.5%
M	11963	15.8%
d	11963	15.8%
H	5854	7.7%
g	5854	7.7%
h	5854	7.7%
L	4594	6.1%
o	3688	4.9%
w	3688	4.9%
u	1812	2.4%
Other values (3)	2718	3.6%

Interactions

Correlations

	acreage	acreage_boxcox	acreage_log	bedrooms	building_value	city	exterior_wall	finished_area	foundation_type	full_bath	grade	half_bath	home_age	land_value	multiple_parcels_involved_in_sale	neighborhood	price_range	property_city	sale_price	sold_as_vacant	suite_condo___	tax_district	year_built
acreage	1.000	1.000	1.000	0.163	0.174	0.147	0.023	0.320	0.057	0.083	0.028	0.005	-0.030	0.305	0.069	0.460	0.026	0.036	0.207	0.000	0.000	0.059	0.030
acreage_boxcox	1.000	1.000	1.000	0.163	0.174	0.114	0.287	0.320	0.103	0.083	0.228	0.079	-0.030	0.305	0.089	0.460	0.190	0.146	0.207	0.093	0.013	0.237	0.030
acreage_log	1.000	1.000	1.000	0.163	0.174	0.135	0.165	0.320	0.087	0.083	0.148	0.029	-0.030	0.305	0.083	0.460	0.132	0.096	0.207	0.020	0.000	0.210	0.030
bedrooms	0.163	0.163	0.163	1.000	0.398	0.058	0.108	0.588	0.376	0.524	0.244	0.144	-0.200	0.228	0.064	0.056	0.175	0.090	0.270	0.092	0.000	0.082	0.200
building_value	0.174	0.174	0.174	0.398	1.000	0.084	0.081	0.744	0.084	0.548	0.492	0.252	-0.099	0.618	0.000	-0.073	0.348	0.127	0.675	0.263	0.000	0.151	0.099
city	0.147	0.114	0.135	0.058	0.084	1.000	0.164	0.062	0.090	0.050	0.174	0.056	0.182	0.077	0.066	0.426	0.182	1.000	0.121	0.037	0.055	0.724	0.182
exterior_wall	0.023	0.287	0.165	0.108	0.081	0.164	1.000	0.115	0.184	0.104	0.177	0.034	0.398	0.107	0.048	0.276	0.108	0.150	0.121	0.110	0.000	0.092	0.398
finished_area	0.320	0.320	0.320	0.588	0.744	0.062	0.115	1.000	0.232	0.646	0.440	0.251	-0.200	0.489	0.060	0.066	0.296	0.057	0.539	0.190	0.000	0.141	0.200
foundation_type	0.057	0.103	0.087	0.376	0.084	0.090	0.184	0.232	1.000	0.391	0.178	0.046	0.151	0.105	0.062	0.118	0.148	0.098	0.125	0.049	0.000	0.057	0.151
full_bath	0.083	0.083	0.083	0.524	0.548	0.050	0.104	0.646	0.391	1.000	0.359	0.136	-0.307	0.317	0.048	0.029	0.223	0.042	0.373	0.170	0.000	0.106	0.307
grade	0.028	0.228	0.148	0.244	0.492	0.174	0.177	0.440	0.178	0.359	1.000	0.199	0.280	0.275	0.061	0.261	0.290	0.108	0.317	0.223	0.004	0.133	0.280
half_bath	0.005	0.079	0.029	0.144	0.252	0.056	0.034	0.251	0.046	0.136	0.199	1.000	0.196	0.101	0.000	0.087	0.091	0.043	0.105	0.144	0.000	0.037	0.196
home_age	-0.030	-0.030	-0.030	-0.200	-0.099	0.182	0.398	-0.200	0.151	-0.307	0.280	0.196	1.000	0.103	0.080	-0.201	0.163	0.249	0.090	0.356	0.000	0.205	-1.000
land_value	0.305	0.305	0.305	0.228	0.618	0.077	0.107	0.489	0.105	0.317	0.275	0.101	0.103	1.000	0.038	-0.026	0.386	0.109	0.727	0.083	0.013	0.304	-0.103
multiple_parcels_involved_in_sale	0.069	0.089	0.083	0.064	0.000	0.066	0.048	0.060	0.062	0.048	0.061	0.000	0.080	0.038	1.000	0.075	0.018	0.061	0.029	0.107	0.000	0.033	0.080
neighborhood	0.460	0.460	0.460	0.056	-0.073	0.426	0.276	0.066	0.118	0.029	0.261	0.087	-0.201	-0.026	0.075	1.000	0.242	0.570	-0.100	0.085	0.000	0.848	0.201
price_range	0.026	0.190	0.132	0.175	0.348	0.182	0.108	0.296	0.148	0.223	0.290	0.091	0.163	0.386	0.018	0.242	1.000	0.161	0.925	0.141	0.000	0.175	0.163
property_city	0.036	0.146	0.096	0.090	0.127	1.000	0.150	0.057	0.098	0.042	0.108	0.043	0.249	0.109	0.061	0.570	0.161	1.000	0.189	0.036	0.007	0.582	0.249
sale_price	0.207	0.207	0.207	0.270	0.675	0.121	0.121	0.539	0.125	0.373	0.317	0.105	0.090	0.727	0.029	-0.100	0.925	0.189	1.000	0.196	0.000	0.196	-0.090
sold_as_vacant	0.000	0.093	0.020	0.092	0.263	0.037	0.110	0.190	0.049	0.170	0.223	0.144	0.356	0.083	0.107	0.085	0.141	0.036	0.196	1.000	0.000	0.040	0.356
suite_condo___	0.000	0.013	0.000	0.000	0.000	0.055	0.000	0.000	0.000	0.000	0.004	0.000	0.000	0.013	0.000	0.000	0.000	0.007	0.000	0.000	1.000	0.003	0.000
tax_district	0.059	0.237	0.210	0.082	0.151	0.724	0.092	0.141	0.057	0.106	0.133	0.037	0.205	0.304	0.033	0.848	0.175	0.582	0.196	0.040	0.003	1.000	0.205
year_built	0.030	0.030	0.030	0.200	0.099	0.182	0.398	0.200	0.151	0.307	0.280	0.196	-1.000	-0.103	0.080	0.201	0.163	0.249	-0.090	0.356	0.000	0.205	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	parcel_id	property_address	suite_condo___	property_city	sale_date	sale_price	legal_reference	sold_as_vacant	owner_name	address	city	acreage	tax_district	neighborhood	image	land_value	building_value	finished_area	foundation_type	year_built	exterior_wall	grade	bedrooms	full_bath	half_bath	acreage_log	acreage_boxcox	home_age	price_range
0	105 11 0 080.00	1802 STEWART PL	Unknown	NASHVILLE	2013-01-11	191500	20130118-0006337	No	STINSON, LAURA M.	1802 STEWART PL	NASHVILLE	0.17	URBAN SERVICES DISTRICT	3127.0	\114000\910001.JPG	32000.0	134400.0	1149.00000	PT BSMT	1941.0	BRICK	C	2.0	1.0	0.0	0.157004	-0.939371	84.0	Mid
1	118 03 0 130.00	2761 ROSEDALE PL	Unknown	NASHVILLE	2013-01-18	202000	20130124-0008033	No	NUNES, JARED R.	2761 ROSEDALE PL	NASHVILLE	0.11	Other	9126.0	\131000\191001.JPG	34000.0	157800.0	2090.82495	SLAB	2000.0	BRICK/FRAME	C	3.0	2.0	1.0	0.104360	-1.562638	25.0	Mid
2	119 01 0 479.00	224 PEACHTREE ST	Unknown	NASHVILLE	2013-01-18	32000	20130128-0008863	No	WHITFORD, KAREN	224 PEACHTREE ST	NASHVILLE	0.17	URBAN SERVICES DISTRICT	3130.0	\133000\721001.JPG	25000.0	243700.0	2145.60001	FULL BSMT	1948.0	BRICK/FRAME	B	4.0	2.0	0.0	0.157004	-0.939371	77.0	Low
3	119 05 0 186.00	316 LUTIE ST	Unknown	NASHVILLE	2013-01-23	102000	20130131-0009929	No	HENDERSON, JAMES P. & LYNN P.	316 LUTIE ST	NASHVILLE	0.34	URBAN SERVICES DISTRICT	3130.0	\134000\474001.JPG	25000.0	138100.0	1969.00000	CRAWL	1910.0	FRAME	C	2.0	1.0	0.0	0.292670	0.223243	115.0	Mid
4	119 05 0 387.00	2626 FOSTER AVE	Unknown	NASHVILLE	2013-01-04	93736	20130118-0006110	No	MILLER, JORDAN	2626 FOSTER AVE	NASHVILLE	0.17	URBAN SERVICES DISTRICT	3130.0	\134000\656001.JPG	25000.0	86100.0	1037.00000	CRAWL	1945.0	FRAME	C	2.0	1.0	0.0	0.157004	-0.939371	80.0	Low
5	119 13 0 183.00	501 MORTON AVE	Unknown	NASHVILLE	2013-01-15	44000	20130115-0004888	No	MICKLER, PATRICK L. & LOIS J. & ARNETT, RYAN D.	501 MORTON AVE	NASHVILLE	0.20	URBAN SERVICES DISTRICT	3179.0	\136000\266001.JPG	16000.0	68100.0	1216.00000	CRAWL	1932.0	FRAME	D	2.0	1.0	0.0	0.182322	-0.678324	93.0	Low
6	119 13 0 183.00	501 MORTON AVE	Unknown	NASHVILLE	2013-01-25	49900	20130128-0008950	No	MICKLER, PATRICK L. & LOIS J. & ARNETT, RYAN D.	501 MORTON AVE	NASHVILLE	0.20	URBAN SERVICES DISTRICT	3179.0	\136000\266001.JPG	16000.0	68100.0	1216.00000	CRAWL	1932.0	FRAME	D	2.0	1.0	0.0	0.182322	-0.678324	93.0	Low
7	119 15 0 158.00	113 NEESE DR	Unknown	NASHVILLE	2013-01-09	25000	20130111-0003850	No	SONA LAND CO, LLC	113 NEESE DR	NASHVILLE	0.40	URBAN SERVICES DISTRICT	3131.0	\137000\81001.JPG	25000.0	57100.0	1152.00000	CRAWL	1945.0	FRAME	C	2.0	1.0	0.0	0.336472	0.494687	80.0	Low
8	133 07 0 195.00	184 WHEELER AVE	Unknown	NASHVILLE	2013-01-18	90000	20130123-0007357	No	GEOGHEGAN, SARS ELIZABETH	184 WHEELER AVE	NASHVILLE	0.34	URBAN SERVICES DISTRICT	3131.0	\150000\856001.JPG	25000.0	80100.0	1300.00000	CRAWL	1955.0	BRICK	C	2.0	1.0	0.0	0.292670	0.223243	70.0	Low
9	133 12 0 153.00	238 ELYSIAN FIELDS RD	Unknown	NASHVILLE	2013-01-11	72000	20130115-0004796	No	ROSS, BRANDON & LUTTRELL, ELLEN J.	238 ELYSIAN FIELDS RD	NASHVILLE	0.23	URBAN SERVICES DISTRICT	3926.0	\151000\699001.JPG	21500.0	87900.0	1175.00000	CRAWL	1968.0	BRICK	C	3.0	1.0	1.0	0.207014	-0.445167	57.0	Low

	parcel_id	property_address	suite_condo___	property_city	sale_date	sale_price	legal_reference	sold_as_vacant	owner_name	address	city	acreage	tax_district	neighborhood	image	land_value	building_value	finished_area	foundation_type	year_built	exterior_wall	grade	bedrooms	full_bath	half_bath	acreage_log	acreage_boxcox	home_age	price_range
24107	150 11 0 105.00	3441 NEW TOWNE RD	Unknown	ANTIOCH	2016-10-06	139000	20161013-0108154	No	ELLER, WILLIAM R. JR.	3441 NEW TOWNE RD	ANTIOCH	0.23	URBAN SERVICES DISTRICT	6027.0	\179000\841001.JPG	27500.0	77500.0	1500.00	CRAWL	1983.0	FRAME	C	3.0	1.0	1.0	0.207014	-0.445167	42.0	Mid
24108	150 13 0 002.00	3548 ROUNDWOOD FOREST DR	Unknown	ANTIOCH	2016-10-05	150000	20161024-0112189	No	LAO, LAI KUAN	3548 ROUNDWOOD FOREST DR	ANTIOCH	0.26	URBAN SERVICES DISTRICT	6028.0	\180000\311001.JPG	20400.0	89000.0	1201.00	CRAWL	1990.0	BRICK/FRAME	C	3.0	2.0	0.0	0.231112	-0.236346	35.0	Mid
24109	163 01 0 014.00	4240 KEVINWOOD CT	Unknown	ANTIOCH	2016-10-14	67700	20161019-0110710	No	TOVAR, SUNEM	4240 KEVINWOOD CT	ANTIOCH	0.49	URBAN SERVICES DISTRICT	4271.0	\193000\80001.JPG	22500.0	95600.0	1486.75	CRAWL	1999.0	FRAME	C	3.0	3.0	0.0	0.398776	0.815369	26.0	Low
24110	164 13 0 102.00	425 ASHEFORD CT	Unknown	ANTIOCH	2016-10-13	194800	20161017-0109394	No	EMUJAKPORUE, LINDA	425 ASHEFORD CT	ANTIOCH	0.23	URBAN SERVICES DISTRICT	6333.0	\193000\840001.JPG	27500.0	102600.0	1680.00	SLAB	1997.0	FRAME	C	3.0	2.0	0.0	0.207014	-0.445167	28.0	Mid
24111	165 13 0 021.00	904 STONEVIEW CT	Unknown	ANTIOCH	2016-10-31	165000	20161104-0116771	No	CARRANZA, JOSE ANTONIO LOPEZ	904 STONEVIEW CT	ANTIOCH	0.24	URBAN SERVICES DISTRICT	6328.0	\194000\62001.JPG	22000.0	74500.0	1311.00	SLAB	1992.0	FRAME	C	3.0	2.0	0.0	0.215111	-0.373016	33.0	Mid
24112	176 01 0 003.00	4617 ROCKLAND TRL	Unknown	ANTIOCH	2016-10-13	185000	20161019-0110290	No	GOODWIN, BENJAMIN DAVIS & SAMUEL GORDON DAVIS	4617 ROCKLAND TRL	ANTIOCH	0.38	URBAN SERVICES DISTRICT	6328.0	\199000\483001.JPG	25000.0	105000.0	1758.00	CRAWL	1996.0	BRICK/FRAME	C	3.0	2.0	0.0	0.322083	0.410091	29.0	Mid
24113	176 05 0 070.00	5004 SUNSHINE DR	Unknown	ANTIOCH	2016-10-26	214000	20161102-0115842	No	FREO TENNESSEE, LLC	5004 SUNSHINE DR	ANTIOCH	0.27	URBAN SERVICES DISTRICT	6328.0	\199000\727001.JPG	25000.0	142400.0	2421.00	SLAB	1996.0	BRICK/FRAME	C	3.0	3.0	0.0	0.239017	-0.171609	29.0	Mid
24114	176 09 0 003.00	4964 HICKORY WOODS E	Unknown	ANTIOCH	2016-10-28	236000	20161031-0114817	No	CHHAY, CHOWAN & NIM, PHALLY	4964 HICKORY WOODS E	ANTIOCH	0.23	URBAN SERVICES DISTRICT	6328.0	\200000\85001.JPG	25000.0	159300.0	3117.00	SLAB	1995.0	BRICK/FRAME	C	3.0	3.0	0.0	0.207014	-0.445167	30.0	Mid
24115	082 05 0 040.00	1625 5TH AVE N	Unknown	NASHVILLE	2016-10-28	466000	20161102-0115988	No	GLAUS, WILLIAM D. SR.	1625 5TH AVE N	NASHVILLE	0.15	URBAN SERVICES DISTRICT	126.0	\66000\843001.JPG	40000.0	204100.0	1637.00	CRAWL	2004.0	FRAME	B	3.0	2.0	1.0	0.139762	-1.130934	21.0	High
24117	082 05 0 098.00	1709 3RD AVE N	Unknown	NASHVILLE	2016-10-12	280000	20161017-0109149	No	Unknown	1709 3RD AVE N	NASHVILLE	0.20	URBAN SERVICES DISTRICT	126.0	\66000\896001.JPG	40000.0	5100.0	1180.00	CRAWL	1899.0	BRICK	D	3.0	1.0	0.0	0.182322	-0.678324	126.0	High

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block